Hi, I'm Aditya Vyas, a Senior MLOps Engineer passionate about building scalable, secure, and cloud-native AI systems that solve real-world problems. With 6+ years of experience across machine learning, GenAI, MLOps, and cloud infrastructure, I’ve worked at the intersection of engineering and data science to deploy high-impact AI platforms in production.
Currently at U.S. Bank, I help architect GenAI and LLM-serving infrastructure—supporting enterprise-scale inferencing, FinOps observability, and secure deployment patterns. Previously at Homepoint Financial, I worked on platform tools like the Profiling & Alert Engine, feature store infrastructure, and high-throughput model pipelines. I’ve also explored AI applications in finance, healthcare, and automation during my time at Insight Data Science and Midmark Corporation.
My technical interests include:
- LLM optimization and GenAI infrastructure
- Cloud-native MLOps (Azure, AWS, Terraform, Kubernetes)
- Agentic AI using n8n, LangChain, and custom orchestration protocols (MCP, A2A)
I started my journey in Biomedical Engineering, driven by a fascination with intelligent systems. What began as a curiosity about AI in science fiction evolved into a career focused on making machine intelligence real, responsible, and scalable.
I’m currently pursuing an MBA in Data-Driven Decision Making, bridging technical execution with strategic, business-aligned thinking.
This site is a space where I share my projects, ideas, and learning across AI, automation, and innovation. If you're building something meaningful at the intersection of tech and impact, I’d love to connect.
Thanks for stopping by,
Aditya
Aditya